| Important questions & topics for NMCP |
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Numerical methods and computer programming (NMCP) is an essential course for any student pursuing a degree in engineering, computer science, or related fields. This course covers a range of topics that are crucial for understanding the computational methods used in various scientific and engineering applications. The course is also designed to provide students with practical skills in programming and problem-solving.
As a student of NMCP, you will be required to learn various numerical techniques for solving mathematical problems, including interpolation, differentiation, integration, and linear algebra. These techniques involve the use of algorithms and data structures, which are implemented using programming languages such as C, C++, and Python.
In addition to learning the theory behind numerical methods and programming, students will also be required to develop practical skills in computer programming. This includes writing programs in a variety of programming languages, debugging code, and analyzing program performance. Students will also be required to work on projects that involve the implementation of numerical techniques in practical applications.
As with any course, it is essential to prepare well for NMCP examinations. To help students in their exam preparations, Mypractically provides a comprehensive set of topic-wise questions that cover all the important concepts and techniques in numerical methods and computer programming. These questions are designed to help students gain a deeper understanding of the course material and develop their problem-solving skills.
Some of the important topics covered in NMCP include numerical integration, differential equations, curve fitting, root finding, optimization, and numerical linear algebra. Students will also learn various programming concepts such as control structures, functions, arrays, and pointers. They will also learn how to use libraries and frameworks that are commonly used in numerical computing and scientific programming.
Unit 1:
1.Birge-vieta method numerical
2.Descartes rule of sign (Statement and Numerical)
3.Intermediate Value theorem (Statement and Numerical)
4.Errors(Absolute, Relative, Round off, Truncation, Chopping)and related Numerical ( do it from Grewal book or standard text book only)
5.Rules of Significant Digits and Identification of Significant Digits
Unit 2:
1.Bisection Method(Numerical)
2.Regula Falsi (Derivation and Numerical)
3.Newton Raphson method (Derivation and Numerical)
4.Newton Raphson method (2 Variable)- Numerical
5.Least square method (Derivation and Numerical) - for 1st and 2nd degree
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| 2019 Paper |
Round off error and Truncation error.
NOTE
1.Make proper use of calculator
2.Don’t calculate any value be direct putting in formula without bracket. Use brackets in calculator when you are doing calculations of division.
3.Use calculator in RADIAN mode while solving problems of trigonometric equations (bisection, regula falsi, NR method)
4.Avoid silly sign mistakes. Check signs twice before calculations.
In conclusion, NMCP is a critical course for any student pursuing a degree in engineering or computer science. This course covers a range of topics that are essential for understanding numerical methods and programming techniques. Mypractically's topic-wise questions provide an excellent resource for students to prepare for exams and develop their problem-solving skills. By mastering the material covered in NMCP, students will be well-equipped to solve real-world problems using numerical methods and computer programming.